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Rice University semiconductor researchers join DARPA-funded Texas team

Researchers from Rice University and the University of Texas have teamed up for semiconductor microsystem innovation. Photo courtesy of UT

A team led by the University of Texas at Austin and partnered with Rice University was awarded $840 million to develop “the next generation of high-performing semiconductor microsystems" for the U.S. Department of Defense.

The Defense Advanced Research Projects Agency (DARPA) selected UT’s Texas Institute for Electronics (TIE) semiconductor consortium to establish a national open access R&D and prototyping fabrication facility.

The facility hopes to enable the DOD to create higher performance, lower power, lightweight, and compact defense systems. The technology could apply to radar, satellite imaging, unmanned aerial vehicles, or other systems, and ultimately will assist with national security and global military leadership. As a member of DARPA’s Next Generation Microelectronics Manufacturing (NGMM) team, Rice’s contributions are key.

Executive vice president for research Ramamoorthy Ramesh and the Rice researchers will focus on technologies for improving computing efficiency. In a Rice press release, Ramesh notes the need to enhance “energy-efficient computing” which highlights Rice’s qualifications to contribute to the solution.

New microsystem designs will be enabled by 3D heterogeneous integration (3DHI)semi, which is a semiconductor fabrication technology that integrates diverse materials and components into microsystems via precision assembly technologies.

Kepler Computing, is a member of the NGMM team and utilizes ferroelectrics to develop energy-efficient approaches in computer memory and logic, and was co-founded by Ramesh. Other Rice researchers include:

  • Lane Martin, director of the Rice Advanced Materials Institute
  • Ashok Veeraraghavan, chair of electrical and computer engineering
  • Pulickel Ajayan, the Benjamin M. and Mary Greenwood Anderson Professor of Engineering and founding chair of the materials science and nanoengineering department
  • Kaiyuan Yang, associate professor of electrical and computer engineering
  • Guha Balakrishnan, assistant professor of electrical and computer engineering

“Given the rapid growth of machine learning AI applications, there is a pressing need to fundamentally rethink current computing methodologies to advance the next generation of microelectronics,” Ramesh says in a news release. ”Rice University boasts world-class researchers with exceptional expertise in computer and electrical engineering poised to bolster this critical federally funded initiative.”

Overall, the project represents a total investment of $1.4 billion. The $840 million award from DARPA is a return on the Texas Legislature’s $552 million investment in TIE. TIE has funded the update of two UT fabrication facilities.

“TIE is tapping into the semiconductor talent available in Texas and nationally to build an outstanding team of semiconductor technologists and executives that can create this national center of excellence in 3DHI microsystems,” S.V. Sreenivasan, TIE founder and chief technology officer and UT professor of mechanical engineering adds.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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